By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

LLMs still rely on search, shifting SEO from head terms to the long tail. Here’s how to use AI to uncover real customer questions and win.

How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software ...

Clear problem definition is the foundation of effective enterprise SEO, aligning teams around facts instead of assumptions.

Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...

Abstract: With limited labeled samples, few-shot classification poses a challenge to standard deep models and has attracted a surge of concern. Metric learning based approaches stand out for the ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Google’s query fan-out technique issues multiple background searches based on initial question. This system is active across AI Mode, Deep Search, and some AI Overview results. The approach relies on ...

What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...

Sven, a sales leader, received a call from a major customer who was furious. Their order arrived late, the product was damaged, and to top it off, their invoice didn’t reflect the volume discount ...

Good news…SEO is alive and well. And the bad news? Traditional SEO approaches are no longer sufficient in today's AI-driven search landscape. Search strategy has ...